PT  - JOURNAL ARTICLE
AU  - Jun-Feng Zou
AU  - Zhen-Xue Peng
AU  - Hui-Juan Du
AU  - Chang-Qing Duan
AU  - Malcolm J. Reeves
AU  - Qiu-Hong Pan
TI  - Elemental Patterns of Wine, Grape, and Vineyard Soil from Chinese Wine-Producing Regions and Their Association
AID  - 10.5344/ajev.2012.11087
DP  - 2012 Feb 14
TA  - American Journal of Enology and Viticulture
PG  - ajev.2012.11087
4099  - http://www.ajevonline.org/content/early/2012/02/06/ajev.2012.11087.short
4100  - http://www.ajevonline.org/content/early/2012/02/06/ajev.2012.11087.full
AB  - Twenty-eight trace elements and 16 rare earth elements were analyzed through ICP-MS in soils, grapes and wines from seven wine-producing regions in China. Analysis of variance showed that almost all elements in the grapes and wines, as well as about a half of the tested elements in the soils existed in statistically significant different amounts on a regional basis. Step-wise linear discriminant analysis (SLDA) revealed 22 parameters (Cr, Co, Ni, Ga, Se, Y, Zr, Nb, Mo, Pd, In, La, Pr, Sm, Eu, Gd, Tm, Yb, Au, Tl, Th, U) to evaluate soils with 93.5% accuracy, 17 parameters (Li, Co, Se, Sr, Zr, Mo, Pd, Cd, In, Ba, La, Ce, Pr, Eu, W, Pt, Au) to assess grapes with 96.5% accuracy and 10 parameters (Sc, V, Cr, Ga, Se, Sr, Pd, Sn, Tl, U) to distinguish the origin of wines with 100% accuracy. Pearson’s r correlation analysis exhibited a good correlation between grapes and soils as well as between wines and grapes, but a weak correlation between wines and soils in terms of multi-elements. This is reflected by the fact that only two elements Se and Pd were common SLDA descriptors to the three classes of material analyzed. Through discriminating grapes by soil descriptors and wines by grape descriptors, it is suggested that difference in multi-elemental pattern of wines between different regions should be mainly due to different geochemistry of the soil.